Remaining lifetime modelling for replacement of power transformer populations

A. Schijndel, van; J. Wetzer; P.A.A.F. Wouters

doi:10.1109/CMD.2008.4580358

Remaining lifetime modelling for replacement of power transformer populations

A. Schijndel, van, J. Wetzer, P.A.A.F. Wouters

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

11 Citations (Scopus)

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Abstract

The age of the majority of power transformers applied in the western electricity network varies between 25 and 50 years. Depending on the load history and time of operation, replacement on short term is imminent. A technically sound policy concerning the replacement of these assets must be based on knowledge of (i) the life expectancy or reliability of individual components, (ii) how these failure probabilities cumulate to a replacement wave, and (iii) how to manage an expected replacement wave. The population reliability is obtained from individual transformer reliabilities using Arrhenius based modelling of paper insulation degradation. This modelling technique includes measures to cope with inherent uncertainties in available data. Population reliability figures are obtained using an adapted k-out-of-N failure model. The modelling method is applied to existing populations of power transformers in The Netherlands, to evaluate their expected replacement wave.

Original language	English
Title of host publication	Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference, Beijing, China, 21-24 April 2008
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-4
ISBN (Print)	978-1-4244-1621-9
DOIs	https://doi.org/10.1109/CMD.2008.4580358
Publication status	Published - 2008

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title = "Remaining lifetime modelling for replacement of power transformer populations",

abstract = "The age of the majority of power transformers applied in the western electricity network varies between 25 and 50 years. Depending on the load history and time of operation, replacement on short term is imminent. A technically sound policy concerning the replacement of these assets must be based on knowledge of (i) the life expectancy or reliability of individual components, (ii) how these failure probabilities cumulate to a replacement wave, and (iii) how to manage an expected replacement wave. The population reliability is obtained from individual transformer reliabilities using Arrhenius based modelling of paper insulation degradation. This modelling technique includes measures to cope with inherent uncertainties in available data. Population reliability figures are obtained using an adapted k-out-of-N failure model. The modelling method is applied to existing populations of power transformers in The Netherlands, to evaluate their expected replacement wave.",

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language = "English",

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Remaining lifetime modelling for replacement of power transformer populations. / Schijndel, van, A.; Wetzer, J.; Wouters, P.A.A.F.

Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference, Beijing, China, 21-24 April 2008. Institute of Electrical and Electronics Engineers, 2008. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Remaining lifetime modelling for replacement of power transformer populations

AU - Schijndel, van, A.

AU - Wetzer, J.

AU - Wouters, P.A.A.F.

PY - 2008

Y1 - 2008

N2 - The age of the majority of power transformers applied in the western electricity network varies between 25 and 50 years. Depending on the load history and time of operation, replacement on short term is imminent. A technically sound policy concerning the replacement of these assets must be based on knowledge of (i) the life expectancy or reliability of individual components, (ii) how these failure probabilities cumulate to a replacement wave, and (iii) how to manage an expected replacement wave. The population reliability is obtained from individual transformer reliabilities using Arrhenius based modelling of paper insulation degradation. This modelling technique includes measures to cope with inherent uncertainties in available data. Population reliability figures are obtained using an adapted k-out-of-N failure model. The modelling method is applied to existing populations of power transformers in The Netherlands, to evaluate their expected replacement wave.

AB - The age of the majority of power transformers applied in the western electricity network varies between 25 and 50 years. Depending on the load history and time of operation, replacement on short term is imminent. A technically sound policy concerning the replacement of these assets must be based on knowledge of (i) the life expectancy or reliability of individual components, (ii) how these failure probabilities cumulate to a replacement wave, and (iii) how to manage an expected replacement wave. The population reliability is obtained from individual transformer reliabilities using Arrhenius based modelling of paper insulation degradation. This modelling technique includes measures to cope with inherent uncertainties in available data. Population reliability figures are obtained using an adapted k-out-of-N failure model. The modelling method is applied to existing populations of power transformers in The Netherlands, to evaluate their expected replacement wave.

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DO - 10.1109/CMD.2008.4580358

M3 - Conference contribution

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BT - Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference, Beijing, China, 21-24 April 2008

PB - Institute of Electrical and Electronics Engineers

ER -

Remaining lifetime modelling for replacement of power transformer populations

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